A hybrid fuzzy goal programming approach with different goal priorities to aggregate production planning

In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment. Using an interactive decision making proces...

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Bibliographic Details
Published in:Computers & industrial engineering Vol. 56; no. 4; pp. 1474 - 1486
Main Authors: Jamalnia, Abouzar, Soukhakian, Mohammad Ali
Format: Journal Article
Language:English
Published: New York Elsevier Ltd 01.05.2009
Pergamon Press Inc
Subjects:
Aggregate production planning
Decision making
Fuzzy goal programming
Fuzzy logic
Fuzzy numbers
Goal priorities
Goal programming
Linguistic values
Nonlinear programming
Optimization algorithms
Production planning
Studies
Aggregate production planning
Fuzzy goal programming
Nonlinear programming
Goal priorities
Fuzzy numbers
Linguistic values
ISSN:0360-8352, 1879-0550
Online Access:Get full text
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Summary:In this study a hybrid (including qualitative and quantitative objectives) fuzzy multi objective nonlinear programming (H-FMONLP) model with different goal priorities will be developed for aggregate production planning (APP) problem in a fuzzy environment. Using an interactive decision making process the proposed model tries to minimize total production costs, carrying and back ordering costs and costs of changes in workforce level (quantitative objectives) and maximize total customer satisfaction (qualitative objective) with regarding the inventory level, demand, labor level, machines capacity and warehouse space. A real-world industrial case study demonstrates applicability of proposed model to practical APP decision problems. GENOCOP III (Genetic Algorithm for Numerical Optimization of Constrained Problems) has been used to solve final crisp nonlinear programming problem.
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ISSN:0360-8352
1879-0550
DOI:10.1016/j.cie.2008.09.010